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dc.contributor.authorNeff, Tyler Wesleyen
dc.date.accessioned2018-06-09T08:00:24Zen
dc.date.available2018-06-09T08:00:24Zen
dc.date.issued2018-06-08en
dc.identifier.othervt_gsexam:15487en
dc.identifier.urihttp://hdl.handle.net/10919/83498en
dc.description.abstractExchange Traded Funds are growing in popularity and volume, however academic literature related to their performance is limited. This study analyzes how well the CORN, WEAT, SOYB, USO, and UGA commodity ETFs track their respective futures assets during the period of January 2012 to October 2017. Tracking error in this study is evaluated through 4 approaches to measure error, bias, systematic risk, and error magnitude. Additionally, a mispricing analysis is conducted as an alternative form of error measurement Results indicate that tracking error is small on average, however CORN shows average excess returns significantly smaller than zero. The CORN ETF is returning a smaller positive value compared to the asset basket when asset basket returns are greater than zero and a larger negative value compared to the asset basket when asset basket returns are less than zero. The CORN, WEAT, USO, and UGA ETFs are found to move less aggressively than the respective asset baskets they track. While errors were small on average, large tracking errors were present across ETFs. The size of errors were found to be impacted by large price moves, as well as seasonality on a monthly and yearly level. USDA reports impacted the size of errors for CORN, WEAT and SOYB while EIA reports had no impact on error size. The mispricing analysis concluded that CORN and SOYB trade at a discount to Net Asset Value on average while WEAT trades at a premium.en
dc.format.mediumETDen
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectExchange Traded Fundsen
dc.subjectTracking Performanceen
dc.subjectAgricultureen
dc.subjectEnergyen
dc.subjectCORNen
dc.subjectSOYBen
dc.subjectWEATen
dc.subjectUSOen
dc.subjectUGAen
dc.titleHow Well Do Commodity Based ETFs Track Underlying Assets?en
dc.typeThesisen
dc.contributor.departmentAgricultural and Applied Economicsen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineAgricultural and Applied Economicsen
dc.contributor.committeechairIsengildina-Massa, Olgaen
dc.contributor.committeememberSpicer, Cara Anneen
dc.contributor.committeememberRamsey, Forden


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